Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECF142F0E090ED36475381D66BB67B6B77B1C245CF020A4452F483AF5BCEDA0CB1269A |
|
CONTENT
ssdeep
|
96:44+3fgnbzDJ1tkzOGzIt8v67M0dKHvF5seemX4HFMepX7X/eEh2iGPTTx:4B3fgnbzDJ1UOzt8iIOQO51XzhmR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b88867837c987f83 |
|
VISUAL
aHash
|
ffffffdfffffff00 |
|
VISUAL
dHash
|
323030b44000c020 |
|
VISUAL
wHash
|
0107000000000000 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
223000b4b0000000,0000000040202020 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)